Triple
T27455646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klaus Fischer |
E692583
|
entity |
| Predicate | numberOfGoalsInBundesliga |
P9098
|
FINISHED |
| Object | 268 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 268 | Statement: [Klaus Fischer, numberOfGoalsInBundesliga, 268]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGoalsInBundesliga Context triple: [Klaus Fischer, numberOfGoalsInBundesliga, 268]
-
A.
numberOfBundesligaTitles
Indicates the quantity of Bundesliga championship titles that an entity has won.
-
B.
wonBundesligaWith
Indicates that one entity achieved victory in the Bundesliga while being associated with (e.g., playing for or coaching) the other entity.
-
C.
goalsForBayernMunich
Indicates the number of goals that were scored in favor of Bayern Munich in a given match or context.
-
D.
seasonOfBestBundesligaFinish
Indicates the specific season in which an entity achieved its highest-ever finishing position in the Bundesliga.
-
E.
numberOfGoals
chosen
Indicates the total count of goals scored or achieved by an entity in a given context.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ef5207903881909427745cda05d27a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69fed09a12648190affcd9bacf7ca275 |
completed | May 9, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69fecf91d6f481908deb60c965c433ed |
completed | May 9, 2026, 6:09 a.m. |
Created at: April 27, 2026, 12:48 p.m.